⚡ Semantic Markup in the United States

Semantic markup is code added to web pages to describe the meaning of content elements and their relationships, giving search engines and other systems clearer context beyond visual layout.

The United States of America (USA) is a North American country with a population of over 341 million people.

According to our research, semantic markup technologies are used on 72.1% of websites from the United States.

Statistics based on 598K+ analyzed websites. About this data

⭐ Most Popular in 2026

The following chart shows the top semantic markup technologies in the United States in 2026, based on market share.

The most popular is ARIA with an impressive share of 91.1%, followed by Open Graph with 73.1% and Twitter Cards with 58.7%.

ARIA 91.1%
Open Graph 73.1%
Twitter Cards 58.7%
JSON-LD 58.1%
oEmbed 43.2%
SearchAction 39%
Microdata 23.6%
Microformats 5.7%
Dublin Core 1.4%
RDFa 0.9%
Product Ontology 0.3%
Microformats2 0.1%
GoodRelations 0.04%
e-GMS <0.001%

🚀 Highlights

Here is a list of the top technologies that are more popular in the United States than worldwide.
Differences between global and country rankings are shown in parentheses.

11. Product Ontology ^(-1)

✨ Best Semantic Markup Technologies

Below is a more detailed list of 14 semantic markup technologies used on sites from the United States, ranked by their market share.

Rank	Name	Market share
1	ARIA Cambridge, Massachusetts, United States A W3C technical specification that defines how to improve the accessibility of web content and applications, particularly those with dynamic interfaces and custom controls.	91.1%
2	Open Graph Menlo Park, California, United States A web metadata standard that defines how webpages are described as structured objects for use in social graphs and enables their consistent representation.	73.1%
3	Twitter Cards Bastrop, Texas, United States A metadata format used by X, originally Twitter, that enables links in posts to display rich previews with images, videos, and interactive media to increase engagement and traffic.	58.7%
4	JSON-LD Cambridge, Massachusetts, United States A lightweight linked data format used to embed structured data into web pages in a machine-readable form.	58.1%
5	oEmbed San Francisco, California, United States An open format that allows websites to embed representations of external URLs such as videos, images, and posts from third-party services.	43.2%
6	SearchAction Cambridge, Massachusetts, United States A structured data type from Schema.org that describes a website's search capability.	39%
7	Microdata Cambridge, Massachusetts, United States An HTML specification used to embed structured metadata within web page content by annotating elements with machine-readable attributes.	23.6%
8	Microformats San Francisco, California, United States Microformats (μF) are a set of standardized HTML class names and attributes used to embed descriptive metadata within existing page content for entities such as people, events, reviews, and blog posts.	5.7%
9	Dublin Core Roseville, Minnesota, United States A metadata element set used to describe documents and other digital or physical resources in a standardized way.	1.4%
10	RDFa Cambridge, Massachusetts, United States An extension to HTML5 that embeds structured metadata within page content by adding attributes based on the RDF data model.	0.9%
11	Product Ontology Neubiberg, Germany An e-commerce classification vocabulary that provides standardized definitions for product and service types used in structured data markup.	0.3%
12	Microformats2 San Francisco, California, United States The second generation of the Microformats specification designed to make publishing and parsing structured data in HTML easier for both authors and developers.	0.1%
13	GoodRelations Neubiberg, Germany A standardized vocabulary for product, price, store, and company data that can be embedded into web pages and processed by search engines and other data-consuming services.	0.04%
14	e-GMS London, United Kingdom A definition of the metadata elements that should be applied to public sector information assets.	<0.001%

👉 See Also

🌎 Semantic Markup in other countries

🗃️ About This Data

We evaluate the popularity of technologies based on the number of websites where we detect their usage.
Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
This report is based on the analysis of 598,456 websites from the United States.
We currently track the presence of 14 semantic markup technologies across the web.
Of these, 14 were detected on websites from the United States.
Statistics were last calculated on May 14, 2026.
For more details, see our methodology and disclaimer.